AI Medical Compendium

Incorporating normal periventricular changes for enhanced pathological white matter hyperintensity segmentation: on multiclass deep learning approaches.

Biomedical engineering online Apr 16, 2026

White matter hyperintensities (WMH) detected on FLAIR MRI sequences serve as important biomarkers for cerebrovascular pathology, correlating with increased risks of cognitive decline, stroke, and demyelination. Contemporary automated segmentation app... read more

Time-to-event risk prediction of dual sensory loss in middle-aged patients with symptomatic knee osteoarthritis: model development, preliminary external validation, and explainability analysis.

BMC medical informatics and decision making Apr 16, 2026

BACKGROUND: Knee osteoarthritis (KOA) is a highly prevalent chronic condition that substantially impairs functional capacity and quality of life among middle-aged and older adults. Sensory loss, including hearing and vision loss, is another major hea... read more

LMO7-mediated ubiquitination of SIRT3 promotes osteoarthritis progression: an investigation using machine learning and molecular dynamics simulations.

BMC biology Apr 16, 2026

BACKGROUND: This study aims to inform clinical decision-making by identifying metabolism-related biomarkers involved in the progression of osteoarthritis (OA). Four OA cartilage-related microarray datasets were downloaded from the GEO database. A met... read more

The application of large language models in orthopedic postgraduate education: potentials, challenges, and future prospects.

Journal of orthopaedic surgery and research Apr 16, 2026

With the widespread integration of artificial intelligence (AI), orthopedics postgraduate education is transitioning into the intelligent era. Large language models (LLMs), which leverage deep learning and natural language processing (NLP), have prof... read more

Cancer in transition: discovery of tumor-intrinsic transcriptional programs shaping the immune and microenvironmental landscape.

Biomarker research Apr 16, 2026

A Large-Scale Neutral Comparison Study of Survival Models on Low-Dimensional Data.

Bioinformatics (Oxford, England) Apr 16, 2026

MOTIVATION: This work presents the first large-scale neutral benchmark experiment focused on single-event, right-censored, low-dimensional survival data. Benchmark experiments are essential in methodological research to scientifically compare new and... read more

Electronegativity Informed Graph Neural Networks for Superconducting Temperature Prediction with Generative Crystal Validation.

Inorganic chemistry Apr 16, 2026

Accurate prediction of the superconducting critical temperature (Tc) remains a major challenge in data-driven materials discovery. Here, we develop an electronegativity (EN) informed graph neural network framework and systematically compare modified ... read more

Explainable machine learning for predicting infections that require hospitalization in patients with systemic lupus erythematosus.

Rheumatology (Oxford, England) Apr 16, 2026

OBJECTIVES: To develop and validate an explainable artificial intelligence (XAI)-based machine learning (ML) model for predicting infections requiring hospitalization in patients with systemic lupus erythematosus (SLE). METHODS: Outpatient data at Ta... read more

Identification and selection of the best artificial intelligence methods developed for detection and diagnosis of breast cancer.

Tumori Apr 16, 2026

BACKGROUND: Comprehensive identification and prioritization of developed artificial intelligence methods for the detection and diagnosis of breast cancer can help to select proper techniques. This study aimed to introduce the best artificial intellig... read more

Accuracy of Deep Learning for Detecting Axillary Lymph Node Metastasis in Breast Cancer: Systematic Review and Meta-Analysis.

Journal of medical Internet research Apr 16, 2026

BACKGROUND: Axillary lymph node metastasis (ALNM) is an important factor in detecting breast cancer (BC). However, the noninvasive diagnosis of ALNM remains challenging. While some deep learning (DL) models have been developed for preoperative ALNM a... read more

Artificial Intelligence Medical Compendium